Association of impaired fasting glucose, diabetes and dietary patterns with mortality: a 10-year follow-up cohort in Eastern China

Acta Diabetol. 2016 Oct;53(5):799-806. doi: 10.1007/s00592-016-0875-8. Epub 2016 Jun 16.

Abstract

Aims: To examine the association between impaired fasting glucose (IFG)/type 2 diabetes and mortality as well as to explore any interactions with dietary intake patterns in a Chinese population.

Methods: We followed 2849 Chinese adults aged 20 years and older for 10 years. Fasting plasma glucose was measured at baseline in 2002. Dietary patterns were constructed using factor analysis. Hazard ratios (HRs) and 95 % confidence interval (CI) were calculated by Cox proportional hazards analysis (all-cause mortality) and competing risks regression [cardiovascular disease (CVD)].

Results: Of the 2849 participants, 102 had diabetes and 178 had impaired fasting glucose (IFG) at baseline. We documented 184 deaths (70 CVD deaths) during 27,914 person-years of follow-up. Diabetes was associated with death from all causes (HR 2.69, 95 % CI 1.62-4.49) after adjusting for sociodemographic and lifestyle factors. Diabetes had a HR of 1.97 (95 % CI 0.84-4.60) for CVD death. IFG had 83 % increased risk of all-cause mortality. Among those with low and high intake of a vegetable-rich dietary pattern, the HR of IFG/diabetes for all-cause mortality was 3.25 (95 %CI 1.95-5.44) and 1.38 (95 % CI 0.75-2.55) (p for interaction 0.019), respectively.

Conclusions: Diabetes and IFG are associated with a substantial increased risk of death in Chinese adults. Dietary patterns associated with a high intake of vegetable were associated with a decrease in the risk of mortality for those with IFG/diabetes.

Keywords: Chinese; Cohort study; Diabetes; Dietary pattern; Mortality.

MeSH terms

  • Adult
  • Aged
  • Blood Glucose / metabolism*
  • China / epidemiology
  • Diabetes Mellitus, Type 2 / blood
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / mortality
  • Diet*
  • Fasting / blood
  • Female
  • Humans
  • Male
  • Middle Aged
  • Proportional Hazards Models

Substances

  • Blood Glucose